... Docker Hardened Image from Docker Hub to Bult.ai and run it as a service in minutes. Import ML & AI frameworks and stacks like LangChain, TensorFlow, PyTorch, and 500+ others in just a few clicks. No manual infrastructure setup, no complex configuration. Bring your own image. Deploy securely. Scale when needed ...

... From @hwchase17 : Today, we re announcing we ve raised $125M at a $1.25B valuation to build the platform for agent engineering. We re also releasing new capabilities to accelerate the path to reliable agents, including LangChain and LangGraph 1.0 releases, a new Insights Agent, and a no code agent builder. IVP led the round alongside existing investors Sequoia, Benchmark, and Amplify, as well as new investors CapitalG and Sapphire Ventures. Imagine that they got their start here when ... ... valuation in what feels like five minutes. That s product-market fit on steroids. Comment from Abdul Rehman(@abod_rehman): It s interesting how quickly agent engineering matured from experimentation to full-stack solutions. Comment from Vlad(@vsteppp

... gives devs: Multi-LLM orchestration RAG-ready primitives State, retries, guards, and concurrency built-in Observability & tracing out of the box We re launching soon: @GraphBit on Product Hunt Curious: for those of you building with frameworks like LangChain or CrewAI, what s the one thing you wish the framework handled better? Musa Comment from Viktor Solovej(@viriava): We are building on LangChain

... started testing Watchflow s rule engine across some of the most active GitHub repositories: vscodelangchain react pytorch kubernetes Only

... they say, it feels to me like the nightmare of AI, because everything moves so fast and everyone is building more stuff (and barely maintaining it) There are a lot of AI frameworks to begin with: LangChain. LlamaIndex. AutoGen. CrewAI. DSPy. OpenDevin. Semantic Kernel... They re all trying to answer one basic question: 'The best way to reliably interact with an LLM so that you can bolt things like memory, tools, and MCP to your AI agent' Everyone Wants ... ... LLMs. What we have now are probabilistic agents, infinite contexts, ephemeral memories, and LLMs that hallucinate confidently, making up stories. So each platform has a different belief system, each one with a large group of fans backing them up: LangChain

... started my journey in data science, then focused on machine learning and LLMs-freelancing to build ML models, AI integrations, and chatbots using langchain and python (long before they were cool). right now, i m working on copi: an docs, wikis, and task management, built with next.js, supabase, and react native. for any ai features/product, mostly i use python, fastapi, openai api, tensorflow, langchain

... specialization in Biomedical Engineering. I m currently looking for full-time roles or internships where I can contribute meaningfully and continue learning. I have hands-on experience in Python, SQL, data analysis, web scraping, and AI agent tools like LangChain, n8n, and ChatGPT. I m a hardworking and self-motivated individual who believes in proving myself through work. If you or someone in your network has any open roles whether it s related to data analytics, automation, AI agents ... ... value in what I bring to the table, then you can decide how to move forward. Some key things about me: I ve built practical projects in web scraping, data analysis, and AI workflows. I ve explored tools like LangChain

... been building web products for over 10 years, blending strong backend architecture with clean, responsive UIs. Currently working with: Tech Stack: Backend: Python (FastAPI, Django), Node.js Frontend: React, Next.js DB: MongoDB, PostgreSQL DevOps: Docker, CI/CD, Kubernetes GenAI: OpenAI, LangChain, RAG pipelines What I Do: Build MVPs for startups Design scalable APIs and microservices Automate workflows and internal tools Create backend for AI products Recent Projects: AI Copilot that converts text into working APIs DNS automation engine for devops teams Chat ... ... connect if you re building something cool or need a dev who ships fast Contact on : vishu242@live.com Comment from Matt Carroll(@catt_marroll): have you ever worked with websockets and fastapi? any advice if so? Comment from Vaibhav Sharma(@vsvaibhav2016

... What s New We just launched a native integration between LangChain and Tensorlake! Now you can pass unstructured documents to a LangGraph agent and trust that parsing, chunking, and field-level accuracy are handled by Tensorlake s document engine no hacky pipelines required. Why it matters Many LangChain

... LangChain is a framework for developing applications powered by language models. It enables applications that are: https://link.medium.com/onC3rwmitCb ...